Learning from Label Proportions with Consistency Regularization

Kuen-Han Tsai, Hsuan-Tien Lin

Abstract: The problem of learning from label proportions (LLP) involves training classifiers with weak labels on bags of instances, rather than strong labels on individual instances. The weak labels only con...